polars.Series.str.find_many#
- Series.str.find_many( ) Series [source]#
Use the Aho-Corasick algorithm to find many matches.
The function will return the bytes offset of the start of each match. The return type will be
List<UInt32>
- Parameters:
- patterns
String patterns to search.
- ascii_case_insensitive
Enable ASCII-aware case-insensitive matching. When this option is enabled, searching will be performed without respect to case for ASCII letters (a-z and A-Z) only.
- overlapping
Whether matches may overlap.
Notes
This method supports matching on string literals only, and does not support regular expression matching.
Examples
>>> _ = pl.Config.set_fmt_str_lengths(100) >>> df = pl.DataFrame({"values": ["discontent"]}) >>> patterns = ["winter", "disco", "onte", "discontent"] >>> df.with_columns( ... pl.col("values") ... .str.extract_many(patterns, overlapping=False) ... .alias("matches"), ... pl.col("values") ... .str.extract_many(patterns, overlapping=True) ... .alias("matches_overlapping"), ... ) shape: (1, 3) ┌────────────┬───────────┬─────────────────────────────────┐ │ values ┆ matches ┆ matches_overlapping │ │ --- ┆ --- ┆ --- │ │ str ┆ list[str] ┆ list[str] │ ╞════════════╪═══════════╪═════════════════════════════════╡ │ discontent ┆ ["disco"] ┆ ["disco", "onte", "discontent"] │ └────────────┴───────────┴─────────────────────────────────┘ >>> df = pl.DataFrame( ... { ... "values": ["discontent", "rhapsody"], ... "patterns": [ ... ["winter", "disco", "onte", "discontent"], ... ["rhap", "ody", "coalesce"], ... ], ... } ... ) >>> df.select(pl.col("values").str.find_many("patterns")) shape: (2, 1) ┌───────────┐ │ values │ │ --- │ │ list[u32] │ ╞═══════════╡ │ [0] │ │ [0, 5] │ └───────────┘